The arrival of Artificial Intelligence and specifically generative platforms like ChatGPT, Claude, Perplexity, etc, has disrupted the world of academia. More students have started using them and are confusing these tools with their alternatives, not assistants. This led to a surge in stress among students because AI can work to an extent, and you still need to use your intelligence.
Otherwise, research studies with fabricated references, lacking criticality in context, or even containing biased information are getting into the sphere. Researchers need to understand that it can automate or accelerate their work, but can’t craft complete studies due to its limitations. Let’s dive into the capabilities and limitations of AI to improve your research experience.
Things AI Can Do for You While Doing Research
No doubt, artificial intelligence has really eased the lives of researchers who are always on their toes to meet deadlines. It has impacted the lives of students and professionals in real-time by offering a helping hand from ideation to creation. Here are some benefits you can get from generative AI tools while working on a survey or a dissertation.
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Assist in Brainstorming Ideas
There’s no need to struggle to land the right subject area to work on for your submission. Because you can use AI tools like Gemini, Scholar GPT, Clause, etc, as your assistants to get the best suggestions. When you enter your interest areas, it can present possible research ideas around the keyword that you want to work on.
For example, if you are a student of economics and want to work on ideas around the causes of state bankruptcy. Then, you can enter this query into the search bar and see various ideas around this concept to work on. By asking some further questions, you can refine the chosen ideas to their finest form, ready to work on.
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Help in Topic Formulation
Once your ideas are finalised and you are damn sure, you will work on them. Then, ask the tool to convert the raw idea into a research topic and ensure to mention requirements like keep the title concise, communicative, etc. It will suggest topics for a study by analysing all available data related to that keyword.
You can also get a customised response from the platform by mentioning your topic or title requirements in the prompt. Boom, now, you have got the topic to move to the next step and complete the manuscript without leaving your table.
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Facilitate in Summarising Ideas
Research can’t be done in isolation; that’s where artificial intelligence jumps in to offer support. You can get lengthy papers or dissertations summarised by any of the AI assistants within seconds to get the gist. No need to spend hours on reading a single study and getting to the point that it’s not useful for my study.
AI can give you the core of the whole thesis in seconds, and even highlight relevant references to use. That’s how it accelerates your research and helps you wrap things up on time.
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Boosts Creativity
Gone are the days when you had to hand-pick references by searching libraries for hours and then using only a few of them at the time of writing. Now, using AI, you can get a list of 100’s of research papers relevant to your topic with just one click.
This surely boosts creativity when working on a literature review, because you are instantly getting relevant references to add in the writing process. Another good thing is the refinement of thoughts or even the organisation of scattered ideas that generative tools do for researchers.
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Improve Writing
Students are usually not good at turning beautiful ideas into complete sentences, specifically when they are second-language users. AI writing assistants like Grammarly, Quillbot, etc., improve phrases and even complete paragraphs by correcting grammatical and fluency issues.
Don’t stress about your poor writing skills and focus on the quality or impactfulness of ideas because AI can take care of your content fluency. Focus more on shaping ideas and let writing assistants improve the words.
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Analyse Large Datasets
Conducting quantitative studies is usually a tough job because you have to deal with large datasets of surveys, questionnaires, etc. The probability of human error in dealing with high volumes of data is quite high, but that’s not the case with machines.
You can use any tool of your choice to have the data analysed and, if needed, synthesised to match your variable requirements. Remember to keep an eye on the results, as AI tools can sometimes make mistakes too, to avoid compromising the credibility of your study.
Things AI Can’t Do for Your Research
There are some limitations of artificial intelligence-based tools or search engines that make researchers avoid overrelying on them while working. We have mentioned the most prominent ones for you to understand why you can’t write your whole study only with AI.
The following elements are valid for now, and if AI gets more efficient in the future, then some or maybe all of them will be incorrect.
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Implement Humanistic Understanding
AI writing tools are trained on data mostly given by humans, but they can’t think and write like human writers. Because they lack emotions, writing without emotions is just a piece of paper that only communicates but does not connect with the readers.
You can risk getting even one chapter of your research paper written from any generative tool, but your reviewer can easily detect it. It only reproduces the existing data, not innovate, invent, or even think critically when you get something written using it.
To integrate creativity, emotional intelligence, and criticality into your words, you need to use your own brain. AI lacks the skills required to write engaging manuscripts, and you need to understand this to write better.
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Verify and Integrate Only Credible References
It has been observed that when you ask any tool of your choice to add references to the literature review. You end up getting unreliable or even made-up citations as well that don’t exist in reality.
That’s why, to preserve the essence of research, students need to collect and integrate references on their own. When the deadline is approaching, some students also take essay writing services from experts and get the work done.
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Do Tasks Beyond Its Training
If you prompt any AI tool to use the most recent data, and even write an essay on something that was not part of its training data. Then, it will lack in producing a quality or full of relevant information study. Which means you can’t get the work done beyond their training from such tools for doing authoritative research.
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Access Restricted Data
Research writing is all about digging to the core and then bringing the most relevant data out for the study. But artificial intelligence-based research writing tools usually have limited access to libraries and data centres, which means they are unable to produce comprehensive manuscripts.
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Hypothesise Critically
Artificial intelligence can’t come up with something from scratch that is not already available on the internet. It can develop frameworks using existing data, but can’t offer something completely new or unique. That’s where human intelligence beats AI in the world of academia because humans can create things from their minds.
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Acquire Data
AI lacks in collecting new data through surveys, interviews, etc, because it can’t maintain ethical considerations like consent, privacy, and even understand the tone of the participants. It can draw patterns from the data, but can’t understand the social, emotional, or other factors reflected in the participant’s responses.
That’s why it can’t collect data on its own and interpret perfectly to match the objectives of the study. Leading students to take dissertation writing services to get assistance from experts and get the work done perfectly.
Where to Draw the Line to Maintain Academic Integrity?
Artificial intelligence-based generative tools can help increase your pace while doing research. But remember, it should not be your replacement; AI can be your assistant in streamlining or improving things. When you feel that you are failing to write a single paragraph without AI, it is time to draw the line and restrict the use of AI tools.
